• Title/Summary/Keyword: 간호인력 산정

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간호인력 수급 및 간호관리료 차등제 실태 조사

  • 대한병원협회
    • Journal of the Korean hospital association
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    • v.37 no.2 s.312
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    • pp.65-73
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    • 2008
  • 대한중소병원협의회는 중소병원계의 최대 현안인 간호인력난 문제를 해결하기 위해 2007년 7월에「간호인력 수급 및 간호관리료 차등제 실태 조사」를 실시했다. 이는 근거(evidence)를 바탕으로 한 정책적 건의를 하기 위한 것이었다. 중소병협은 이 조사 보고서를 복지부에 건의한 결과 (1) 일부 군 지역(소득세법시행규칙상 의료취약지역)에 한해 7등급제 적용 유보 (2) 광역시를 제외한 지역에 소재한 병원 7등급 감산율을 5%에서 2%로 하향조정 (3) 요양병원 간호관리료 산정시 AN인력 포함 등의 성과를 거두었다. 중소병협은 중소병원계의 간호인력난 문제를 보다 더 근본적으로 해결하기 위해 현재 행정소송을 준비 중에 있다. 중소병협의 이러한 노력의 하나로 이루어진 간호인력난 실태 조사 보고서(요약본)를 게재한다.

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Nurse Staffing and Patient Outcomes in Korea: A Systematic Review (간호인력과 환자결과: 체계적 문헌고찰)

  • Lee, Ji Yeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.104-115
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    • 2021
  • The purpose of this review was to systematically assess empirical studies on the relationship between nurse staffing and patient outcomes through systematic literature review. Peer-reviewed articles published between January 2009 and December 2018 were identified in CINAHL, Pubmed, EBSCOhost, RISS, and Dbpia databases. A total of 13 articles relating to nurse staffing and patient outcomes in Korea were systematically reviewed and analyzed. The review showed that better nurse staffing aligned with better patient outcomes. However, some studies did not directly correlate patient outcomes with nurse staffing. This is because each study examined varied aspects of nurse staffing and different patient outcomes. These inconsistent study results indicate that continuous study is required. There should be continued efforts to establish guidelines and strategies for deploying nurse staff by maintaining optimal patient-to-nurse ratio.

Computerization of Nurse Staffing and Scheduling according to Patient Classification (환자분류에 의한 간호인력 산정 및 배치과정 전산화)

  • Park, Jung-Ho;Park, Hyeoun-Ae;Cho, Hyon;Choi, Yong-Sun
    • Journal of Korean Academy of Nursing
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    • v.26 no.2
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    • pp.399-412
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    • 1996
  • Even though Korean medical law stipulates that number of patients attended by a nurse is 2.5 for hospitalization and 30 for ambulatory care, the number of patients cared by a nurse per day is much greater than the standard prescribed by the medical law. Current nursing productivity of nurses is not desirable unless the quality of care considered. Moreover. nursing manpower staffing based on neither current nurses' productivity nor standard of medical law cannot respond properly to dynamic situation of the medical services. As for the nurse scheduling, the critical problem of it in the hospital is determining the day-to-day shift assignments for each nurse for the specified period in a way that satisfies the given requirements of the hospital. Nurse scheduling, however, involves many factors and requirements, manual scheduling requires much time and effort to produce an adequate schedule. Under these backgrounds, the necessity of more efficient management of nursing manpower occupying 1/3 of total hospital workers has been recognized by many nursing administrators. This study was performed to develop a system computerizing nurse staffing and scheduling based on the patient classification. As a preliminary step for the system development, nursing workload in a secondary hospital was measured from Sep. to Oct. 1994. On the grounds of this result, computerization of nurse staffing and scheduling was proceeded with three options. First one is based on the current medical law. Second one is based on the assigned number of nursing staff. And the last is based on the request by patient classification. Computer languages used in this study were MS Visual Basic 3.0 for the staffing and Access 2.0 for the scheduling, respectively. Prospective users may operate this system easily because icons and mouse are used for easier graphic user interface and reducing the need for typing efforts. This system can help nurse administrators manage nursing manpower efficiently and nurses develop quick and easy schedule generation and allow more time for the patient care.

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Convalescent Hospital Doctors and Nursing Staff Awareness of the Differential Rating : Focused on Doctors, Nursing Staff (요양병원 의사 및 간호인력 차등등급에 따른 인지도 - 의사, 간호인력 중심으로)

  • Kim, Byung-Ho;Park, Young-Seok
    • The Journal of the Korea Contents Association
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    • v.15 no.12
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    • pp.285-293
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    • 2015
  • This study was performed in order to provide better quality health care services and satisfaction, the basis for the differential rating system to be operational by identifying how to recognize and respect in hospital operating efficiently and according to the rating differential with convalescent hospital doctors and nursing staff target was. The results of this study are as follows. Rating and doctors as a result of the independent sample t-test to analyze the differences of the nursing grade, second grade doctors were able to see that higher efficiency and improve the patient's rights organization in nursing improving patient safety in two grades, improve care and patient rights this product was confirmed to be enhanced higher. Doctor and as a result of the ANOVA analysis to analyze the differences in accordance with the nursing staff level, improve patient safety, hospital finances, the hospital doctor in the first grade, Nursing grade 2, the right to improve patient education and self-development, and two doctors, nursing grade 1 in was found that high. Overall, doctors, nursing staff of higher grade, first grade and second grade is the difference between me and a different result each category future convalescent hospital doctors and nursing staff of the differential rating system 1, it is necessary to consider restructuring among a calculation based on 2 ratings there will be.

A Model for Nursing Workforce in Hemodialysis Room Using System Dynamics Approach (시스템다이내믹스를 이용한 혈액투석실 간호인력 산정 연구)

  • Kim, Moon Sil;Kwon, Kyoung Ja;Choi, Sung Hee
    • Journal of Korean Clinical Nursing Research
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    • v.14 no.2
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    • pp.71-81
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    • 2008
  • Purpose: The objective of this study was to determine the cause-effect and dynamic change mechanism among factors that affect calculation of the nursing workforce in the hemodialysis room and to establish a system dynamics model and create a strategic simulation to be used to increase efficiency in the clinical situation. Method: The system dynamics approach was adapted to build a simulation model for calculating the nursing workforce. The model was built using Vensim 5.0b DSS. Results: The results were as follows for Scenario A: The highest level of nursing service quality, patient satisfaction, and nurse satisfaction, and the lowest level of turnover intention is maintained when the ratio of patients to nurse is 3.5:1 compared to all other situations. Scenario B: At the ratio of patients to nurse 4.0:1 nursing service quality, patient satisfaction, and nurse satisfaction dropped slightly, and turnover intention also rose slightly. However with time the results showed improvement. Conclusion: In terms of economic efficiency in the hemodialysis room, the ratio of patients to nurse for the best nursing workforce should not exceed 4.0:1.

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Estimation of Nurse Staffing Based on Nursing Workload with Reference to a Patient Classification System for a Intensive Care Unit (중환자의 중증도에 따른 적정 간호인력 수요 산정)

  • Park, Young Sun;Song, Rhayun
    • Journal of Korean Critical Care Nursing
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    • v.10 no.1
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    • pp.1-12
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    • 2017
  • Purpose: This study aimed to estimate the appropriate nurse staffing ratio in intensive care units (ICUs) by measuring nursing workload based on patient's severity and needs, using the Korean Patient Classification System for critical care nurses. Methods: The data were collected from January 18 to February 29, 2016 using a standardized checklist by observation or self-report. During the study period, 723 patients were included to be categorized from I to IV using the patient classification system. Measurement of total nursing workload on a shift was calculated in terms of hours based on the time and motion method by using tools for surveying nursing activities. The nursing activities were categorized as direct nursing care, indirect nursing care, and personal time. Total of 127 cases were included in measuring direct nursing time and 18 nurses participated in measuring indirect and personal time. Data were analyzed using descriptive statistics. Results: Two patients were classified into Class I (11.1%), 5 into Class II (27.8%), 9 into Class III (50%), and two into Class IV (11.1%). The amount of direct nursing care required for Class IV (513.7 min) was significantly more than that required for Class I (135.4 min). Direct and indirect nursing care was provided more often during the day shift as compared to the evening or night shifts. These findings provided the rationale for determining the appropriate ratio for nursing staff per shift based on the nursing workload in each shift. Conclusions: An appropriate ratio of nurse staffing should be ensured in ICUs to re-arrange the workload of nurses to help them provide essential direct care for patients.

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Patient Classification Technique based on Computerized Clinical Data and Nursing Workforce Management : Analysis case of a general Hospital (전산화된 임상 데이터에 기반한 환자 분류 체계 및 간호 인력 관리 방안 : 일개 종합병원 분석 사례)

  • Kim, Kyoungok;Park, Kyungsoon;Suh, Changjin
    • The Journal of the Korea Contents Association
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    • v.13 no.3
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    • pp.287-298
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    • 2013
  • To develop a technique classifying patients based on computerized clinical data followed by validity verification by comparing with nurse's examination. Class scores were determined by nurses for a day on 348 resident patients in 7 wards of a general hospital according to KPCS-1. The class scores were simultaneously evaluated by reviewing the computerized clinical data acquired from the hospital management information system. These two class scores were both significantly different among different departments as well as disease patterns. Intraclass correlation analysis resulted a very high correlation coefficient of 0.96(p<0.01) between the two scoring methods, but the clinical data scores were somewhat higher. An automated patient classification system seemed possible to be developed in future with further enhancement of the present results based on computerized clinical data without manual scoring, which can be applied for performance evaluation as well as workforce planning.

The Nurse Staffing in Intensive Care Units based on Nursing Care Needs: A Multicenter Study (중환자 간호요구도에 근거한 중환자실 간호사 배치수준 산정 : 다기관 연구)

  • Park, Miok;Yang, Eunjin;Lee, Mimi;Cho, Sung-Hyun;Shim, Miyoung;Lee, Soon Haeng
    • Journal of Korean Critical Care Nursing
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    • v.14 no.2
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    • pp.1-11
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    • 2021
  • Purpose : The aim of this study was to propose appropriate nurse staffing of adult intensive care units considering patients' nursing care needs according to the Workload Management System for Critical Care Nurses (WMSCN). Methods : In a cross-sectional survey conducted in September 2017, 1,786 patients' WMSCN scores, surveys from 2,145 nurses, and administrative data from 118 units in 41 hospitals were analyzed. The means (standard deviations) of the aforementioned scores and nursing hours per patient day were presented. Nurse-to-patient ratios and nurse-to bed ratios for staffing to meet patients' nursing care needs were calculated. Results : The mean WMSCN scores were 109.50±17.17 in tertiary hospitals and 96.38±19.26 in general hospitals. Nursing hours per patient day were 12.47±2.80 in tertiary hospitals and 11.01±2.45 in general hospitals. Nursing hours per patient day correlated with WMSCN scores. Nurse-to-bed ratios required for the provision of ICU nursing care ranged from 1: 0.36 to 1: 0.48. Conclusion : Our findings provide evidence that current ICU nurse staffing is insufficient for meeting patients' nursing care needs. We suggest adjusting the legal standards for adequate nurse staffing considering these needs.